Using MILP to plan annualised working hours

Corominas, Albert; Lusa, Amaia; Pastor, Rafael

doi:10.1057/palgrave.jors.2601309

Cited by 33 publications

(30 citation statements)

References 11 publications

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“…Some of them are , , Corominas et al (2002Corominas et al ( , 2004Corominas et al ( , 2007aCorominas et al ( , 2007bCorominas et al ( , 2012, Hertz et al (2010), Van der Veen et al (2014), and Filho and Marcola (2001).…”

Section: Literature Reviewmentioning

confidence: 99%

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Manpower Planning with Annualized Hours Flexibility: a Fuzzy Mathematical Programming Approach

Hasan

2016

dmms

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Abstract. We have considered the problem of annualized hours (AH) in workforce management. AH is a method of distributing working hours with respect to the demand over a year. In this paper, the basic Manpower planning problem with AH flexibility is formulated as a fuzzy mathematical programming problem with flexible constraints. Three models of the AH planning problem under conditions of fuzzy uncertainty are presented using different aggregation operators. These fuzzy models soften the rigidity of the deterministic model by relaxing some constraints with the use of flexible programming. Finally, an illustration is given with a computational experiment performed on a realistic-scale case problem of an automobile company to demonstrate and analyze the effectiveness of the fuzzy approach over a deterministic model.

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Section: Literature Reviewmentioning

confidence: 99%

“…Some also considered skills; e.g., Corominas and Pastor (2010), Corominas et al (2002), Corominas et al (2005), Grabot and Letouzey (2000), and Lusa et al (2008b).…”

Section: Literature Reviewmentioning

confidence: 99%

Manpower Planning with Annualized Hours Flexibility: a Fuzzy Mathematical Programming Approach

Hasan

2016

dmms

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“…Moreover, AH often implies the need to solve a complicated working-time planning problem. Several authors have dealt with different versions of the problem (e.g., Hung, 1999a, Hung, 1999b, Gonçalves and Marçola, 2001, Corominas et al, 2002, Corominas et al, 2004b, but most papers (e.g., Lynch, 1995, MacMeeking, 1995and Mazur, 1995 only discuss AH from a qualitative point of view.…”

Section: Introductionmentioning

confidence: 99%

A multistage scenario optimisation procedure to plan annualised working hours under demand uncertainty

Lusa

Corominas

Muñoz

2008

International Journal of Production Economics

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The annualisation of working hours (i.e., the irregular distribution of the total number of working hours over the course of a year) makes it possible to adapt production capacity to fluctuations in demand. The required capacity, which is an essential data for the optimal planning of working time, usually depends on several complex factors. Often, it is impossible to reliably predict the required capacity or it is unrealistic to adjust it to a probability distribution. In some cases, it is possible to determine a set of required capacity scenarios, each with a related probability. This paper presents a multistage stochastic optimisation model that provides a robust solution (i.e., feasible for any possible scenario) and minimises the expected total capacity shortage.

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“…Some of these types of problems are solved in other papers (see Corominas et al, 2002, Corominas et al, 2004band Corominas et al, 2005 and the obtained solutions show that when an AH system is compared to a traditional system (regular working hours), the costs due to overtime, temporary workers, subcontracting, lost demand and, in some cases, inventory, are diminished. Up to now, MILP has proved to be an efficient tool for solving this kind of problem, even for large size models.…”

Section: Introductionmentioning

confidence: 99%

Planning annualised hours with a finite set of weekly working hours and cross-trained workers

Corominas

Lusa

Pastor

2007

European Journal of Operational Research

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Annualising working hours (i.e., the possibility of irregularly distributing the total number of working hours over a year) permits companies to adapt capacity to fluctuations in demand, thus reducing overtime, temporary workers and inventory costs. Since annual hours can lead to a worsening of the staff's working conditions, many laws and collective bargaining agreements contain constraints that affect the distribution of working time. This paper proposes a MILP model to solve an annualised working hours planning problem in which workers are considered to be cross-trained, and in which the number of weekly working hours must belong to a previously agreed finite set. A computational experiment demonstrates the effectiveness of the model.

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Using MILP to plan annualised working hours

Cited by 33 publications

References 11 publications

Manpower Planning with Annualized Hours Flexibility: a Fuzzy Mathematical Programming Approach

Manpower Planning with Annualized Hours Flexibility: a Fuzzy Mathematical Programming Approach

A multistage scenario optimisation procedure to plan annualised working hours under demand uncertainty

Planning annualised hours with a finite set of weekly working hours and cross-trained workers

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